Aggregating heart rate variability indices across sleep stage epochs ignores significant variance through the night.

Aggregating heart rate variability indices across sleep stage epochs ignores significant variance through the night.
复制标题

DOI:
10.1016/j.sleep.2021.11.020
复制
发表时间:
2022-03
期刊:
影响因子:
4.8
通讯作者:
Winkelman JW
Winkelman JW
中科院分区:
医学2区
文献类型:
--
作者:
Eddie D;Bentley KH;Bernard R;Mischoulon D;Winkelman JW

文献摘要

参考文献

相似文献

心率变异性 (HRV) 是一种广泛使用的自主调节功能以及伴随的健康或病理状态的生物标志物。越来越多的工作正在探索睡眠条件下的 HRV。大多数文献使用根据多个睡眠阶段时期计算的平均 HRV 指数,或整个晚上的平均 HRV。两种方法都隐含地假设睡眠时期类型内的 HRV 在整个晚上都是一致的。鉴于有大量文献表明存在内源性心血管昼夜节律以及对累积睡眠时间的潜在影响,我们假设 HRV 在不同的睡眠时期会有所不同。参与者至少接受一晚的家庭多导睡眠图检查,包括脑电图、肌电图和心电图(N = 73)。确定所有持续时间大于或等于 5 分钟的快速眼动 (REM) 和非 REM 2 期 (N2) 睡眠时期进行 HRV 分析。计算每个睡眠阶段时期的 HRV 时域和频域指数。使用线性混合模型分别检验时间对 N2 睡眠和 REM 睡眠时期 HRV 指数的主要影响。所有模型均观察到时间的主要影响。 N2 和 REM 时期都出现了模式,表明 HRV 指数在整个夜晚的不同睡眠时期是非平稳的(即可变的)。目前的研究结果表明 HRV 在整个睡眠阶段时期是不稳定的。汇总不同睡眠阶段的 HRV 指数可能会掩盖重要的瞬时效应,并增加发生 I 型和 II 型错误的风险。
Heart rate variability (HRV) is a widely utilized biomarker of autonomic regulatory functioning, and concomitant health or pathological states. A growing body of work is exploring HRV under sleeping conditions. Most of this literature utilizes either averaged HRV indices calculated from multiple sleep stage epochs, or averaged HRV throughout the night. Both approaches implicitly assume that HRV within sleep epoch types is consistent throughout the night. Given the robust literature indicating the existence of an endogenous cardiovascular circadian rhythm as well as the potential for effects for cumulative time asleep, we hypothesized that HRV would vary across distinct sleep epochs. Participants underwent at least one night of home polysomnography that included electroencephalogram, electromyogram, and electrocardiogram (N = 73). All rapid eye movement (REM) and non-REM stage 2 (N2) sleep epochs with a duration greater than or equal to five minutes were identified for HRV analysis. Time and frequency domain indices of HRV were calculated for each sleep stage epoch. Linear mixed models were used to examine main effects of time on HRV indices for N2 and REM sleeps epochs respectively. Main effects of time were observed for all models. Patterns emerged for both the N2 and REM epochs, suggesting HRV indices are non-stationary (i.e., variable) across distinct sleep epochs through the course of the night. The present findings indicate HRV is non-stationary across sleep stage epochs. Aggregating HRV indices across sleep stage epochs likely obscures important transient effects and increases risk of type-I and type-II errors.
DOI: 10.1111/adb.12958
发表时间: 2022-01
期刊: Addiction biology
影响因子: 3.4
作者:
Eddie D;Bates ME;Buckman JF
通讯作者: Buckman JF
DOI: 10.3389/fphar.2015.00071
发表时间: 2015
影响因子: 5.6
作者:
Chen L;Yang G
通讯作者: Yang G
DOI: 10.1007/s10484-013-9217-6
发表时间: 2013-06-01
影响因子: 3
作者:
Lehrer, Paul;Eddie, David
通讯作者: Eddie, David
DOI: 10.1016/s0921-884x(96)96070-1
发表时间: 1997-05-01
期刊: ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子: --
作者:
Bonnet, MH;Arand, DL
通讯作者: Arand, DL
DOI: 10.1016/j.jpsychires.2020.01.015
发表时间: 2020-04-01
影响因子: 4.8
作者:
Eddie, David;Bentley, Kate H.;Winkelman, John W.
通讯作者: Winkelman, John W.